Domain-independent anomalies datasets

An adaption of the MVTec Anomaly Detection dataset, presented in the paper "Domain-independent detection of known anomalies".

There are three different datasets, each covering one specific anomaly type: color, cut and hole. The datasets can be used to evaluate approaches on the hybrid task of detecting known anomalies across different, previously unseen objects: All object types except one are used for training. During testing, the images of the remaining object type should be classified on whether they contain an anomaly.

Note: the authors are not affiliated with MVTec